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SLM, LLM, RAG and Fine-tuning: Pillars of Modern Generative AI
09-09-2024
In the fast-paced world of Generative Artificial Intelligence (AI), there are several concepts that have become fundamental to understanding and harnessing the potential of this technology. Today we focus on four: Small Language Models(SLM), Large...
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RAG techniques: how they work and examples of use cases
21-08-2024
In recent months we have seen how the large language models (LLMs ) that enable Generative Artificial Intelligence (GenAI) applications have been improving in terms of accuracy and reliability. RAG (Retrieval Augmented Generation)...
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Linguistic corpora: the knowledge engine for AI
16-05-2024
The transfer of human knowledge to machine learning models is the basis of all current artificial intelligence. If we want AI models to be able to solve tasks, we first have to encode and transmit solved tasks to them in a formal language that they can...
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GRAPH QL. Your best ally for the creation of data products.
09-04-2024
The era of digitalisation in which we find ourselves has filled our daily lives with data products or data-driven products. In this post we discover what they are and show you one of the key data technologies to design and build this kind of products:...
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UNE specifications as a complement to ISO standards for the governance, management and quality of Information Systems and Technologies
01-04-2024
Standardisation is essential to improve efficiency and interoperability in governance and data management. The adoption of standards provides a common framework for organising, exchanging and interpreting data, facilitating collaboration and ensuring...
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Generative AI for clearer communication: how it helps evaluate, adjust and clarify language
05-02-2024
The alignment of artificial intelligence is a term established since the 1960s, according to which we orient the goals of intelligent systems in the exact direction of human values. The advent of generative models has brought this concept of alignment...